Pairing high-frequency data with a link-node model to manage dissolved oxygen impairment in a dredged estuary
Abstract
High-frequency data and a link-node model were used to investigate the relative importance of mass loads of oxygen-demanding substances and channel geometry on recurrent low dissolved oxygen (DO) in the San Joaquin River Estuary in California. The model was calibrated using 6 years of data. The calibrated model was then used to determine the significance of the following factors on low DO: excavation of the river to allow navigation of large vessels, non-point source pollution from the agricultural watershed, effluent from a wastewater treatment plant, and non-point source pollution from an urban area. An alternative metric for low DO, excess net oxygen demand (ENOD), was applied to better characterize DO impairment. Model results indicate that the dredged ship channel had the most significant effect on DO (62 % fewer predicted hourly DO violations), followed by mass load inputs from the watershed (52 % fewer predicted hourly DO violations). Model results suggest that elimination of any one factor will not completely resolve DO impairment and that continued use of supplemental aeration is warranted. Calculation of ENOD proved more informative than the sole use of DO. Application of the simple model allowed for interpretation of the extensive data collected. The current monitoring program could bemore »
- Authors:
-
[1];
- Univ. of the Pacific, Stockton, CA (United States)
- Systech Water Resources, Inc. (United States)
- Univ. of the Pacific, Stockton, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1580046
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Environmental Monitoring and Assessment
- Additional Journal Information:
- Journal Volume: 188; Journal Issue: 8; Journal ID: ISSN 0167-6369
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; San Joaquin River; Estuary; Dissolved oxygen; Water quality; TMDL; California; Models
Citation Formats
Camarillo, Mary Kay, Weissmann, Gregory A., Gulati, Shelly, Herr, Joel, Sheeder, Scott, and Stringfellow, William T. Pairing high-frequency data with a link-node model to manage dissolved oxygen impairment in a dredged estuary. United States: N. p., 2016.
Web. doi:10.1007/s10661-016-5458-1.
Camarillo, Mary Kay, Weissmann, Gregory A., Gulati, Shelly, Herr, Joel, Sheeder, Scott, & Stringfellow, William T. Pairing high-frequency data with a link-node model to manage dissolved oxygen impairment in a dredged estuary. United States. https://doi.org/10.1007/s10661-016-5458-1
Camarillo, Mary Kay, Weissmann, Gregory A., Gulati, Shelly, Herr, Joel, Sheeder, Scott, and Stringfellow, William T. Mon .
"Pairing high-frequency data with a link-node model to manage dissolved oxygen impairment in a dredged estuary". United States. https://doi.org/10.1007/s10661-016-5458-1. https://www.osti.gov/servlets/purl/1580046.
@article{osti_1580046,
title = {Pairing high-frequency data with a link-node model to manage dissolved oxygen impairment in a dredged estuary},
author = {Camarillo, Mary Kay and Weissmann, Gregory A. and Gulati, Shelly and Herr, Joel and Sheeder, Scott and Stringfellow, William T.},
abstractNote = {High-frequency data and a link-node model were used to investigate the relative importance of mass loads of oxygen-demanding substances and channel geometry on recurrent low dissolved oxygen (DO) in the San Joaquin River Estuary in California. The model was calibrated using 6 years of data. The calibrated model was then used to determine the significance of the following factors on low DO: excavation of the river to allow navigation of large vessels, non-point source pollution from the agricultural watershed, effluent from a wastewater treatment plant, and non-point source pollution from an urban area. An alternative metric for low DO, excess net oxygen demand (ENOD), was applied to better characterize DO impairment. Model results indicate that the dredged ship channel had the most significant effect on DO (62 % fewer predicted hourly DO violations), followed by mass load inputs from the watershed (52 % fewer predicted hourly DO violations). Model results suggest that elimination of any one factor will not completely resolve DO impairment and that continued use of supplemental aeration is warranted. Calculation of ENOD proved more informative than the sole use of DO. Application of the simple model allowed for interpretation of the extensive data collected. The current monitoring program could be enhanced by additional monitoring stations that would provide better volumetric estimates of low DO.},
doi = {10.1007/s10661-016-5458-1},
journal = {Environmental Monitoring and Assessment},
number = 8,
volume = 188,
place = {United States},
year = {Mon Aug 01 00:00:00 EDT 2016},
month = {Mon Aug 01 00:00:00 EDT 2016}
}
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